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README.md

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 # MediaPipe-Hand-Detection: Optimized for Mobile Deployment
 ## Real-time hand detection optimized for mobile and edge
 
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 The MediaPipe Hand Landmark Detector is a machine learning pipeline that predicts bounding boxes and pose skeletons of hands in an image.
 
-This model is an implementation of MediaPipe-Hand-Detection found [here]({source_repo}).
+This model is an implementation of Posenet-Mobilenet found [here](https://github.com/zmurez/MediaPipePyTorch/). 
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 This repository provides scripts to run MediaPipe-Hand-Detection on Qualcomm® devices.
 More details on model performance across various devices, can be found
 [here](https://aihub.qualcomm.com/models/mediapipe_hand).